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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Volusia County, FL

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Volusia County, FL
Series ID MHICIUBFL12127A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:11 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 23950
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28324
1994-01-01 .
1995-01-01 30922
1996-01-01 .
1997-01-01 32631
1998-01-01 34050
1999-01-01 35098
2000-01-01 37806
2001-01-01 37061
2002-01-01 37360
2003-01-01 38309
2004-01-01 39531
2005-01-01 39631
2006-01-01 41974
2007-01-01 43744
2008-01-01 47377
2009-01-01 42697
2010-01-01 42794
2011-01-01 40315
2012-01-01 41299
2013-01-01 41951
2014-01-01 42199
2015-01-01 43998
2016-01-01 47127
2017-01-01 48700
2018-01-01 51482
2019-01-01 55868
2020-01-01 58661
2021-01-01 60067
2022-01-01 66808

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